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pro vyhledávání: '"Nestor Schmajuk"'
Autor:
Nestor Schmajuk
Since first described, multiple properties of classical conditioning have been discovered, establishing the need for mathematical models to help explain the defining features. The mathematical complexity of the models puts our understanding of their
Autor:
Nestor Schmajuk
What mechanisms are involved in enabling us to generate predictions of what will happen in the near future? Although we use associative mechanisms as the basis to predict future events, such as using cues from our surrounding environment, timing, att
Autor:
Nestor Schmajuk, Munir Gunes Kutlu
Publikováno v:
Journal of Experimental Psychology: Animal Behavior Processes. 37:254-260
Schmajuk, Lam, and Gray (SLG, 1996) presented a neural network model of classical conditioning that addresses the multiple properties of latent inhibition (LI). According to the model, LI is the result of the decreased attention to the target stimulu
Autor:
Nestor Schmajuk
Latent Inhibition and Its Neural Substrates describes a neural network model of attentional processes during associative learning, mainly latent inhibition, and shows how variables in the model can be mapped onto different brain regions and neurotran
Autor:
Nestor Schmajuk
Since first described, multiple properties of classical conditioning have been discovered, establishing the need for mathematical models to help explain the defining features. The mathematical complexity of the models puts our understanding of their
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afa03fba7b0bf2b85078ab1890d3036d
https://doi.org/10.1017/cbo9780511760402
https://doi.org/10.1017/cbo9780511760402
Autor:
Nestor Schmajuk
What mechanisms are involved in enabling us to generate predictions of what will happen in the near future? Although we use associative mechanisms as the basis to predict future events, such as using cues from our surrounding environment, timing, att
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dcab24ef70aceb3015e165c994a1dea
https://doi.org/10.1017/cbo9780511711831
https://doi.org/10.1017/cbo9780511711831